An adaptive dynamically low-dimensional approximation method for multiscale stochastic diffusion equations. - Eric T. Chung 001; Sai-Mang Pun; Zhiwen Zhang 001 (J. Comput. Appl. Math., 2019)

Online basis construction for goal-oriented adaptivity in the generalized multiscale finite element method. - Eric T. Chung 001; Sara N. Pollock; Sai-Mang Pun (J. Comput. Phys., 2019)

Computational multiscale methods for linear poroelasticity with high contrast. - Shubin Fu; Robert Altmann; Eric T. Chung 001; Roland Maier; Daniel Peterseim; Sai-Mang Pun (J. Comput. Phys., 2019)

Online Adaptive Basis Enrichment for Mixed CEM-GMsFEM. - Eric T. Chung 001; Sai-Mang Pun (Multiscale Model. Simul., 2019)

A multi-stage deep learning based algorithm for multiscale modelreduction. - Eric T. Chung 001; Wing Tat Leung; Sai-Mang Pun; Zecheng Zhang (CoRR, 2020)

Multi-agent Reinforcement Learning Accelerated MCMC on Multiscale Inversion Problem. - Eric T. Chung 001; Yalchin Efendiev; Wing Tat Leung; Sai-Mang Pun; Zecheng Zhang (CoRR, 2020)

Computational multiscale methods for first-order wave equation using mixed CEM-GMsFEM. - Eric T. Chung 001; Sai-Mang Pun (J. Comput. Phys., 2020)

Computational multiscale methods for parabolic wave approximations in heterogeneous media. - Eric T. Chung 001; Yalchin Efendiev; Sai-Mang Pun; Zecheng Zhang (CoRR, 2021)

Space-time Non-local multi-continua upscaling for parabolic equations with moving channelized media. - Jiuhua Hu; Wing Tat Leung; Eric T. Chung 001; Yalchin Efendiev; Sai-Mang Pun (CoRR, 2021)

Convergence of the CEM-GMsFEM for Stokes flows in heterogeneous perforated domains. - Eric T. Chung 001; Jiuhua Hu; Sai-Mang Pun (J. Comput. Appl. Math., 2021)

A multi-stage deep learning based algorithm for multiscale model reduction. - Eric T. Chung 001; Wing Tat Leung; Sai-Mang Pun; Zecheng Zhang (J. Comput. Appl. Math., 2021)

Computational multiscale methods for quasi-gas dynamic equations. - Boris Chetverushkin; Eric T. Chung 001; Yalchin Efendiev; Sai-Mang Pun; Zecheng Zhang (J. Comput. Phys., 2021)

Temporal splitting algorithms for non-stationary multiscale problems. - Yalchin Efendiev; Sai-Mang Pun; Petr N. Vabishchevich (J. Comput. Phys., 2021)

Iterative oversampling technique for constraint energy minimizing generalized multiscale finite element method in the mixed formulation. - Siu Wun Cheung; Eric T. Chung 001; Yalchin Efendiev; Wing Tat Leung; Sai-Mang Pun (Appl. Math. Comput., 2022)

Computational multiscale method for parabolic wave approximations in heterogeneous media. - Eric T. Chung 001; Yalchin Efendiev; Sai-Mang Pun; Zecheng Zhang (Appl. Math. Comput., 2022)

A multiscale method for the heterogeneous Signorini problem. - Xin Su; Sai-Mang Pun (J. Comput. Appl. Math., 2022)

Partially Explicit Generalized Multiscale Method for Poroelasticity Problem. - Xin Su; Wing Tat Leung; Wenyuan Li 004; Sai-Mang Pun (CoRR, 2023)

Nonlocal transport equations in multiscale media. Modeling, dememorization, and discretizations. - Yalchin Efendiev; Wing Tat Leung; Wenyuan Li 004; Sai-Mang Pun; Petr N. Vabishchevich (J. Comput. Phys., 2023)

Fast online adaptive enrichment for poroelasticity with high contrast. - Xin Su; Sai-Mang Pun (J. Comput. Phys., 2023)

Online Adaptive Algorithm for Constraint Energy Minimizing Generalized Multiscale Discontinuous Galerkin Method. - Sai-Mang Pun; Siu Wun Cheung (Multiscale Model. Simul., 2023)

Multi-agent Reinforcement Learning Aided Sampling Algorithms for a Class of Multiscale Inverse Problems. - Eric T. Chung 001; Wing Tat Leung; Sai-Mang Pun; Zecheng Zhang (J. Sci. Comput., 2023)

Partially explicit generalized multiscale finite element methods for poroelasticity problem. - Xin Su; Wing Tat Leung; Wenyuan Li 004; Sai-Mang Pun (J. Comput. Appl. Math., 2024)